In line with theories of embodied cognition, hands-on experience is typically assumed to support learning. In the current paper, we explored this issue within the science domain of sinking objects. Adults had to make a guess about which of two objects in a pair would sink faster. The crucial manipulation was whether participants were handed real-life objects (real-objects condition) or were sho...

In cases of disputed CCTV identification, expert testimony based on the results of analysis by facial image comparison may be presented to the Jury. However, many of the techniques lack empirical data to support their use. Using a within participants design, we compared the accuracy of face matching decisions when images were presented using a ‘facial wipe’ technique (where one image is superim...

The goal of this study was to evaluate human accuracy at identifying people from static and dynamic presentations of faces and bodies. Participants matched identity in pairs of videos depicting people in motion (walking or conversing) and in "best" static images extracted from the videos. The type of information presented to observers was varied to include the face and body, the face-only, and ...

The goal of this study was to evaluate human accuracy at identifying people from static and dynamic presentations of faces and bodies. Participants matched identity in pairs of videos depicting people in motion (walking or conversing) and in “best” static images extracted from the videos. The type of information presented to observers was varied to include the face and body, the face only, and ...

PURPOSE To evaluate the sonographic parameters related to morphological characteristics of pelvic adnexal masses by obtaining two-dimensional images by an observer presence, forwarded electronically (via tele-ultrasound) in static and dynamic modes observers do not face (distance) for comparative analyzes inter intraobserver and to the validation of a second opinion. METHODS From March to Aug...

Detecting humans in images is an important task in image or video processing field. This paper proposes an illumination and poses invariant method for human head detection. The principle stands on the evidence that human head has similar shape, which is composed of several edge segments at certain orientations on head contour. Firstly, head contour are labeled manually on the head sample images...

FXPAL’s Pantheia system enables users to create virtual models by ‘marking up’ a physical space with pre-printed visual markers. The meanings associated with the markers come from a markup language that enables the system to create models from a relatively sparse set of markers. This paper describes extensions to our markup language and system that support the creation of interactive virtual ob...

Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. We present an MCMC framework for estimating 3D human upper body pose. A generative model, comprising of the human articulated structure, shape and clothing models, is used to formulate likelihood measures for evaluating solution candidat...

Existing methods to recognize actions in static images take the images at their face value, learning the appearances—objects, scenes, and body poses—that distinguish each action class. However, such models are deprived of the rich dynamic structure and motions that also define human activity. We propose an approach that hallucinates the unobserved future motion implied by a single snapshot to h...

This paper introduces a human body contour registration method for static pedestrian images with unconstrained background. By using a statistical compound model to impose structural and textural constraints on valid pedestrian appearances, the matching process is robust to image clutter. Experimental results show that the proposed method register pedestrian contours in complex background effect...